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Profiling vs Static Analysis: The Impact on Precision Tuning

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Stefano CherubinAuthors Info & Claims

SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing

Pages 446 - 448

https://doi.org/10.1145/3605098.3636080

Published: 21 May 2024 Publication History

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Abstract

In this study, we compare two different approaches to precision tuning --- worst-case static annotation, and profile-guided annotation. We propose and implement a profile-guided approach in an existing precision tuning tool TAFFO. In comparison to the static approach used by the tool before, the profile-guided approach reaches up to 4 orders of magnitude lower error while providing comparable speedup and requiring less expertise from the programmer, tested on benchmarks of the PolyBench/C suite.

References

[1]

Daniele Cattaneo et al. 2021. Architecture-aware Precision Tuning with Multiple Number Representation Systems. In 2021 58th ACM/IEEE Design Automation Conference (DAC). 673--678.

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[2]

Stefano Cherubin and Giovanni Agosta. 2020. Tools for Reduced Precision Computation: a Survey. Comput. Surveys 53, 2 (Apr 2020), 35 pages.

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[3]

Louis-Noël Pouchet et al. 2012. Polybench: The polyhedral benchmark suite. URL: http://www.cs.ucla.edu/pouchet/software/polybench 437 (2012), 1--1.

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Index Terms

Profiling vs Static Analysis: The Impact on Precision Tuning
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Embedded systems
      1. Embedded software
2. Software and its engineering

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Information & Contributors

Information

Published In

SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing

April 2024

1898 pages

ISBN:9798400702433

DOI:10.1145/3605098

Chair:
Jiman Hong,
Program Chairs:
Juw Won Park,
Adam Przybyłek

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 May 2024

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H2020 Marie Skłodowska-Curie Actions

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SAC '24

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SIGAPP

SAC '24: 39th ACM/SIGAPP Symposium on Applied Computing

April 8 - 12, 2024

Avila, Spain

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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